{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4d44793d761b4b3998734fdee5283f95\" frameborder=\"0\" width=\"1882\" height=\"1411\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1411,"width":1882,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1411,"thumbnail_width":1882,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/4d44793d761b4b3998734fdee5283f95-62fbc9d7ae5b9e85.gif","duration":245.269,"title":"Copy of Building an AI Content Engine Fast","description":"This Loom explains how NimbleMindset built an AI content engine that creates custom social content without manual input. It uses Scrape Creators to pull native data from TikTok, YouTube, Reddit, and websites, scoring what performed based on engagement metrics like views, likes, shares, and comments, then analyzing hooks, pain points, emotions, and audience signals to cluster and rank themes. The app also includes Repost Radar to surface the most viral posts and link directly to them, plus a Content Studio that generates publishable assets for LinkedIn, X threads, Instagram captions, carousel copy, newsletter sections, and matching image prompts. It further features a Heart Story Generator that turns a rough moment into a structured story and a scene-by-scene short form video script with voiceover, on screen text, B roll notes, and camera direction, as well as a Hook Generator based on what already wins. The engine and studio were built using Lovable, with an iterative prompt to code workflow that reduced a months long project to a focus build over a couple of hours."}